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US Patent 7209939 Precision improvement method for the Strassen/Winograd matrix multiplication method

Patent 7209939 was granted and assigned to Sun Microsystems on April, 2007 by the United States Patent and Trademark Office.

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Patent
Patent

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Current Assignee
Sun Microsystems
Sun Microsystems
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
7209939
Date of Patent
April 24, 2007
Patent Application Number
10364617
Date Filed
February 10, 2003
Patent Citations Received
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US Patent 12124847 Systems, methods, and apparatuses for tile transpose
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US Patent 12106100 Systems, methods, and apparatuses for matrix operations
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US Patent 12112167 Matrix data scatter and gather between rows and irregularly spaced memory locations
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US Patent 11669326 Systems, methods, and apparatuses for dot product operations
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US Patent 11675590 Systems and methods for performing instructions to transform matrices into row-interleaved format
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US Patent 11698787 Interruptible and restartable matrix multiplication instructions, processors, methods, and systems
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US Patent 11714642 Systems, methods, and apparatuses for tile store
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...
Patent Primary Examiner
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Chuong D. Ngo
Patent abstract

A computer system for multiplying a first matrix and a second matrix that reduces rounding error, including a processor, a memory, a storage device, and software instructions stored in the memory for enabling the computer system, under the control of the processor, to perform obtaining a first set of dimension values for the first matrix and a second set of dimension values for the second matrix, selecting one of a plurality of multiplication permutations if the first set of dimension values and the second set of dimension values are greater than a crossover value, multiplying the first matrix by the second matrix using the multiplication permutation and a Strassen-Winograd method, recursively sub-dividing the first matrix and the second matrix producing a set of sub-matrix products and a recursion tree, and propagating the set of sub-matrix products up the recursion tree to produce a product matrix.

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